Article recognition apparatus, settlement apparatus and article recognition method

ABSTRACT

According to one embodiment, an article recognition apparatus includes a first interface, a second interface, and a processor. The first interface acquires an image captured by photographing a photography range including an area where articles that are recognition targets are arranged. The second interface acquires depth information from a predetermined position relative to an area corresponding to the photography range. The processor extracts image areas of all products existing in the image by using the depth information, and determines whether an unidentified area due to overlapping of a plurality of the products exists in the image, based on the image areas of the products extracted from the image.

FIELD

Embodiments described herein relate generally to an article recognitionapparatus, a settlement apparatus and an article recognition method.

BACKGROUND

An article recognition apparatus, which recognizes a plurality ofarticles (target objects) from a photography image, is now in practicaluse. The article recognition apparatus executes a process of specifyingimage areas of articles from a photography image captured byphotographing a photography area including an area where the articlesare arranged, and identifying the articles in the specified image areasof the articles. In some cases, in a photography image captured byphotographing a plurality of articles from above, there occurs an area(hereinafter referred to as “unidentified area”) where articles cannotbe detected due to overlapping disposition of a plurality of thearticles.

In related art, there is known a method of generating athree-dimensional (3D) image from a photographed image, specifying aproduct area by utilizing the 3D image, and recognizing a productexisting in the specified product area. In this related art, however, itis assumed that the target of recognition is one product, and it is notassumed that products overlap each other. Specifically, thisconventional article recognition apparatus cannot detect (recognize) aproduct existing in an unidentified area which occurs due to overlappingof a plurality of products. A settlement apparatus using such an articlerecognition apparatus would possibly execute a settlement process with aprice lower than a correct price, if an undetectable product exists inthe unidentified area.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a view which schematically illustrates an example of anexternal-appearance configuration of a settlement apparatus including anarticle recognition apparatus according to an embodiment.

FIG. 2 is a block diagram illustrating a configuration example of acontrol system of the settlement apparatus.

FIG. 3A is a view illustrating an arrangement example of a plurality ofproducts which are settlement targets of the settlement apparatus.

FIG. 3B is a view illustrating an example of a photography imagecaptured by photographing the products shown in FIG. 3A.

FIG. 4 is a flowchart for describing a flow of a settlement process bythe settlement apparatus.

FIG. 5A is a view illustrating an arrangement example of a plurality ofproducts which are settlement targets of the settlement apparatus.

FIG. 5B is a view illustrating an example of a photography imagecaptured by photographing the products shown in FIG. 5A.

FIG. 6 is a flowchart for describing a flow of an unidentified areadetection process by the settlement apparatus.

FIG. 7A is a view illustrating a first arrangement example in a case inwhich no unidentified area occurs due to two products which arerecognition targets of the article recognition apparatus functioning asthe settlement apparatus.

FIG. 7B is a view illustrating outer-shape areas of the two products inthe arrangement state shown in FIG. 7A.

FIG. 8A is a view illustrating a second arrangement example in a case inwhich no unidentified area occurs due to two products which arerecognition targets of the article recognition apparatus functioning asthe settlement apparatus.

FIG. 8B is a view illustrating outer-shape areas of the two products inthe arrangement state shown in FIG. 8A.

FIG. 9A is a view illustrating an arrangement example in a case in whichan unidentified area occurs due to two products which are recognitiontargets of the article recognition apparatus functioning as thesettlement apparatus.

FIG. 9B is a view illustrating outer-shape areas of the two products inthe arrangement state shown in FIG. 9A.

DETAILED DESCRIPTION

In general, according to one embodiment, an article recognitionapparatus includes a first interface, a second interface, and aprocessor. The first interface acquires an image captured byphotographing a photography range including an area where articles thatare recognition targets are arranged. The second interface acquiresdepth information from a predetermined position relative to an areacorresponding to the photography range. The processor extracts imageareas of all products existing in the image by using the depthinformation, and determines whether an unidentified area due tooverlapping of a plurality of the products exists in the image, based onthe image areas of the products extracted from the image.

Embodiments will be described hereinafter with reference to theaccompanying drawings.

An article recognition apparatus according to an embodiment will bedescribed.

A settlement apparatus to be described below includes an articlerecognition apparatus which detects articles (products) from aphotography image, and recognizes (identifies) the detected articles.However, the article recognition apparatus according to the embodimentis not limited to the apparatus which detects and recognizes productsthat are settlement targets, and it should suffice if the apparatusdetects all articles existing in a photography image. For example, thearticle recognition apparatus may be an apparatus which detects articlesexisting in a photography image in order to count the number ofarticles.

FIG. 1 is a view which schematically illustrates an example of anexternal-appearance configuration of the settlement apparatus 1including the article recognition apparatus of the embodiment.

As illustrated in FIG. 1, the settlement apparatus 1 includes a housing2, a product table 3, a camera 4, a 3D camera 5, a display 6, anoperation panel 7 and a settlement unit 8. The settlement apparatus 1includes a function as an article recognition apparatus which recognizesproducts as articles, and a settlement function of settling the paymentof products. The settlement apparatus 1 recognizes products that aresettlement targets by the function as the article recognition apparatus,and settles the payment of the recognized products by the settlementfunction. The settlement apparatus 1 is installed, for example, in astore which sells products. The settlement apparatus 1 may be installedas a self-checkout system which a user operates by himself/herself. Inaddition, the settlement apparatus 1 may be installed as a cash registerwhich a salesclerk of the store operates. The settlement apparatus 1executes a settlement process on all products placed on the producttable 3. For example, the products that are settlement targets may bedirectly placed on the product table 3, or may be placed on the producttable 3 in the state in which the products are put in a basket.

The housing 2 forms the outer shape of the settlement apparatus 1. Thehousing 2 may have any shape which enables disposition of respectiveparts, and the shape of the housing 2 is not limited to a specificshape. In the example illustrated in FIG. 1, the housing 2 has such ashape that the camera 4 and 3D camera 5 are disposed above the producttable 3. In addition, the housing 2 houses a computer including aprocessing unit which includes a processor, a storage and variousinterfaces. For example, the computer housed in the housing 2 realizes aprocess as the article recognition apparatus.

The settlement apparatus 1 functioning as the article recognitionapparatus photographs, by the camera 4 and 3D camera 5, a photographyrange including the product table 3. The settlement apparatus 1functioning as the article recognition apparatus detects and recognizesrespective products existing in a photography image which the camera 4acquires, by using a distance image as depth information which the 3Dcamera 5 acquires. The settlement apparatus 1 detects all products fromthe photography image which the camera 4 acquires, recognizes thedetected products, and executes a settlement process on all recognizedproducts.

The product table 3 includes a surface on which products that aresettlement targets (recognition targets) are placed. The surface of theproduct table 3, on which the products are placed, serves as an area(article disposition area) where all products that are settlementtargets are disposed. For example, the product table 3 may be configuredsuch that the surface, on which articles are placed, is painted with apredetermined pattern (e.g. black). In addition, the product table 3 maybe configured such that a basket, in which products that are recognitiontargets are contained, is placed on the product table 3. The producttable 3 is set such that the article disposition area falls within thephotography range of the camera 4. Besides, the product table 3 may beconfigured as a conveyor device, such as a belt conveyor, which conveysa plurality of articles that are recognition targets in the state inwhich these articles are placed on the conveyor device.

The camera 4 photographs, as a photography range, an area including thearticle disposition area of the product table 3. In the configurationexample illustrated in FIG. 1, the camera 4 photographs, from above theproduct table 3, the photography range including the entirety of thearticle disposition area of the product table 3. The camera 4 may be ofany type if the camera 4 can photograph the products on the producttable 3, or the products in the basket on the product table 3, as animage in such a state as to be able to extract product identificationinformation for use in a product recognition process. For example, thecamera 4 is composed of a CCD camera or the like. In addition, thecamera 4 may be configured to photograph invisible light. The camera 4may include a plurality of cameras. The camera 4 is not restricted to aspecific configuration.

The 3D camera 5 photographs a distance image in the photography range ofthe camera 4 as depth information from a predetermined position. In theconfiguration example illustrated in FIG. 1, the 3D camera 5 photographsa distance image in the photography range of the camera 4 as depthinformation by photographing the product table 3 from above.Specifically, the 3D camera 5 shown in FIG. 1 acquires depth informationrelative to a to-be-photographed surface of a product placed on theproduct table 3.

For example, the 3D camera 5 can be realized by a camera which acquiresdepth information by a ToF (Time-of-Flight) method. The 3D camera 5 ofthe ToF method measures a distance to a subject, based on a flight time(delay time) of light from when light was emitted from a light source towhen the light reflected from a target reaches a sensor, and thevelocity of light. The 3D camera 5 is not limited to the ToF method, andmay be configured to acquire the depth information from a parallax byusing a stereoscopic camera or a plurality of cameras. Additionally, the3D camera 5 may be configured to project a dot pattern and to acquiredepth information from a distortion of the dot pattern. Additionally, itshould suffice if the 3D camera 5 acquires depth information, and the 3Dcamera 5 may be replaced with a distance sensor or the like.

The display (display unit) 6 is a display device which displays variouskinds of information. The display 6 is, for instance, a liquid crystaldisplay. The display 6 includes a display panel and a driving circuitwhich causes the display panel to display a screen. The display panelis, for instance, a display device such as a liquid crystal display oran organic EL display.

The operation panel (operation unit) 7 is a user interface for anoperator to input various operational instructions. The operation panel7 transmits the data of the operational instruction, which the operatorinputs, to a controller. The operation panel 7 is, for instance, akeyboard, numeric keys, and a touch panel. In addition, the operationpanel 7 may accept an input of a gesture from the user.

Besides, the display 6 and operation panel 7 may be a display deviceincluding a touch panel. Here, it is assumed that the operation panel 7is a touch panel and is formed integral with the display 6.

The settlement unit 8 is a device for settling payment of products. Thesettlement unit 8 may be any device which can settle the payment ofproducts. For example, the settlement unit 8 may be a device whichprocesses a credit card for settling the payment of products.Additionally, the settlement unit 8 may receive the payment of productsby an electronic money function which an electronic device such as amobile terminal or an IC card includes. Additionally, the settlementunit 8 may process cash for settling the payment of products.Additionally, the settlement unit 8 may settle the payment of productsby registered information of a user who was successfully authenticatedby personal authentication such as biometrics authentication. Forexample, the settlement unit 8 may be configured to photograph a payer'sface, and to execute settlement (electronic settlement) by usingregistered information of the user who was successfully authenticated bya face authentication process based on the photographed face image.Incidentally, the settlement unit 8 may include a function of executinga settlement-related process, as well as the function of receiving theprice of products. For example, the settlement unit 8 may execute amembership authentication process by a membership card or the like, andmay execute a process of giving points to a storage medium (e.g. a card)which the user possesses.

In the meantime, the display 6, operation panel 7 and settlement unit 8may be disposed at arbitrary positions. For example, the display 6,operation panel 7 or settlement unit 8 may be formed integral with thehousing 2. The settlement apparatus 1 may be configured such that anyone of, or all of, the display 6, operation panel 7 and settlement unit8 are omitted.

In addition, the settlement apparatus 1 may include a structure forillumination, etc. Besides, the settlement apparatus 1 may include adetection unit which detects that a product (or a basket) was placed onthe product table 3. The settlement apparatus 1 may start a settlementprocess including a product recognition process, upon detecting that theproduct (or basket) was placed on the product table 3.

Next, a configuration example of the control system of the settlementapparatus 1 will be described.

FIG. 2 is a block diagram illustrating a configuration example of thecontrol system of the settlement apparatus 1.

As illustrated in FIG. 2, the settlement apparatus 1 is configured suchthat the camera 4, 3D camera 5, display 6, operation panel 7 andsettlement unit 8 are connected to a processing unit 20. The processingunit 20 includes a processor 21, a ROM 22, a RAM 23, a nonvolatilememory 24, a product database (DB) 24 a, a camera I/F (first interface)25, a 3D camera I/F (second interface) 26, a display I/F (thirdinterface) 27, an operation I/F 28, and a settlement I/F 29.

The processor 21 controls the entirety of the settlement apparatus 1.The processor 21 is, for example, a CPU. The processor 21 realizesvarious processes, based on programs and control data which the ROM 22or nonvolatile memory 24 stores. For example, the processor 21 executesoperational control of the settlement apparatus 1 and various processes,such as the settlement process, by executing the programs which the ROM22 stores.

In the meantime, some of various functions (to be described later),which the processor 21 realizes, may be realized by hardware.

The ROM 22 is a nonvolatile memory which prestores programs for control,and control data. The ROM 22 is assembled in the settlement apparatus 1in the state in which the ROM 22 stores the control programs and controldata at the stage of manufacture. Specifically, the control programs andcontrol data, which are stored in the ROM 22, are assembled in advanceaccording to the specifications of the settlement apparatus 1.

The RAM 23 is a volatile memory. The RAM 23 functions as a workingmemory. The RAM 23 temporarily stores, for instance, data which theprocessor 21 is processing. The RAM 23 stores an application program,based on an instruction from the processor 21. In addition, the RAM 23may store data which is necessary for executing the application program,and an execution result of the application program.

The nonvolatile memory 24 is composed of, for example, a datawritable/rewritable nonvolatile memory. For example, the nonvolatilememory 24 is composed of an HDD (hard disk drive), an SSD (solid statedrive), an EEPROM, or a flash memory. The nonvolatile memory 24 storescontrol programs, application programs and various data corresponding topurposes of operational use of the settlement apparatus 1.

The nonvolatile memory 24 includes the product database (DB) 24 a. Theproduct DB 24 a stores information (product information) relating toproducts (registered products) which are targets of the productrecognition process. Incidentally, the product DB 24 a may be providedin an external apparatus which is communicable via a communicationinterface. The product DB 24 a stores, with respect to each ofregistered products, product information such as a product code, aproduct name, a price and a product category, and product identificationinformation for use in the product recognition process. The productidentification information includes characteristic information forrecognizing the product from a photography image, information(outer-shape information) indicative of the outer shape (contour) of theproduct, and information (height information) indicative of the heightof the product. The outer-shape information may be, for example, thecoordinates of four corners corresponding to a rectangular surface of aproduct. Additionally, the outer-shape information may be informationindicative of the shape of the contour of the product in a case ofviewing, from above, the product placed on the product table 3.Additionally, the outer-shape information may be information indicativeof the area of the product in a case of viewing, from above, the productplaced on the product table 3.

The camera interface (I/F) 25 is an interface for connecting the camera4 and processing unit 20. The processor 21 and camera 4 input/outputdata to/from each other via the camera I/F 25. The camera I/F 25functions as an image acquisition unit which acquires an image which thecamera 4 photographed. For example, the processor 21 instructs, via thecamera I/F 25, the camera 4 to photograph an image, and acquires theimage which the camera 4 photographed.

The 3D camera interface (I/F) 26 is an interface for connecting the 3Dcamera 5 and processing unit 20. The processor 21 and 3D camera 5input/output data to/from each other via the 3D camera I/F 26. The 3Dcamera I/F 26 functions as a distance acquisition unit which acquires adistance image (depth information) which the 3D camera 5 photographs.For example, the processor 21 instructs, via the 3D camera I/F 26, the3D camera 5 to photograph a distance image, and acquires the distanceimage which the 3D camera 5 photographed.

The display device interface (display I/F) 27 is an interface forconnecting the display 6 and processing unit 20. The processor 21 anddisplay 6 input/output data to/from each other via the display I/F 27.The display 6 displays a screen, based on a display control which isdelivered from the processor 21 via the display I/F 27.

The operation device interface (operation I/F) 28 is an interface forconnecting the operation panel 7 and processing unit 20. The processor21 and operation panel 7 input/output data to/from each other via theoperation I/F 28. The operation panel 7 supplies information, which isinput by an operation member, such as a touch sensor, a keyboard ornumeric keys, to the processor 21 via the input I/F 28.

In the meantime, the settlement apparatus 1 may include a speaker whichoutputs sound for an alert. In this case, the processing unit 20includes an interface for a connection to the speaker. The speaker maybe configured to produce sound, based on control from the processor 21which is connected to the speaker via the interface.

The settlement unit interface (settlement I/F) 29 is an interface forconnecting the settlement unit 8 and processing unit 20. The processor21 and settlement unit 8 input/output data to/from each other via thesettlement I/F 28. For example, the processor 21 instructs a settlementamount to the settlement unit 8, and receives a result of reception ofthe settlement amount from the settlement unit 8. Depending on the modeof the settlement process, the processor 21 may execute the settlementprocess, based on information obtained from the settlement unit 8 viathe settlement I/F 29.

Next, the relationship between a photography image captured by thecamera 4 and an unidentified area will be described.

The camera 4 photographs a photography range including the entirety ofthe product table 3, from above the product table 3. The processor 21detects image areas of all products existing in a photography imagewhich the camera 4 photographed. In addition, the processor 21 checkswhether an unidentified area, which occurs due to overlapping ofproducts, exists in the photography image which the camera 4photographed. Specifically, the settlement apparatus according to thepresent embodiment recognizes all products existing in the photographyimage, and confirms whether an unidentified products exists in thephotography image.

FIG. 3A is a view illustrating an arrangement example of a plurality ofproducts on the product table 3. FIG. 3B is a view illustrating anexample of a photography image captured by photographing the products inthe arrangement state illustrated in FIG. 3A.

FIG. 3A illustrates a state in which three products (product A, productB and product C) are placed on the product table 3. As illustrated inFIG. 3A, a part of the product A lies on the product B. The product Cexists at that part of the product A, which does not overlap the productB.

If the area including the three products in the state illustrated inFIG. 3A is photographed, a photography image as illustrated in FIG. 3Bis obtained. The photography image shown in FIG. 3B includes an image ofthe upper surface of the product A, and an image of a part of the uppersurface of the product B. Thus, the existence of at least the product Aand product B can be detected from the photography image. However, animage of the product C does not exist in the photography image shown inFIG. 3B. Thus, the existence of the product C cannot be detected fromthe photography image shown in FIG. 3B.

Specifically, in the arrangement state illustrated in FIG. 3A, alower-side area of that part of the product A, which does not overlapthe product B, becomes an area (unidentified area) where the existenceof a product cannot be detected from the photography image. When anunidentified area exists, the settlement apparatus 1 cannot recognize aproduct in the unidentified area, and, therefore, there is a possibilitythat the settlement apparatus 1 cannot carry out an exact settlementprocess. Thus, after confirming the absence of an unidentified area inthe photography image, the settlement apparatus 1 of this embodimentexecutes the settlement process on the products which the settlementapparatus 1 recognized from the photography image. In addition, when thesettlement apparatus 1 detected an unidentified area in the photographyimage, the settlement apparatus 1 retries the product recognitionprocess, or stops the settlement process.

Next, the settlement process in the settlement apparatus 1 according tothe present embodiment will be described.

FIG. 4 is a flowchart for describing an example of the settlementprocess in the settlement apparatus 1 of the embodiment.

In a standby state, the processor 21 accepts a start instruction of thesettlement process (ACT 11). For example, the processor 21 starts thesettlement process, responding to an instruction of a start buttonprovided on the operation panel 7. The start button is a button forinstructing the start of the settlement process on the products whichare set on the product table 3. The start button may be an icon whichthe display 6 displays, or may be a hard key provided on the operationpanel 7. In addition, the processor 21 may start the settlement process,responding to a sensor detecting that products or a basket was placed onthe product table 3. Besides, the processor 21 may start the settlementprocess, upon detecting the appearance of a person or a specificmovement of a person.

Upon starting the settlement process (ACT 11, YES), the processor 21instructs the camera 4 to photograph. Responding to the instruction ofthe processor 21, the camera 4 photographs a photography range includinga product disposition area of the product table 3. The processor 21acquires, via the camera I/F 25, a photography image which the camera 4photographed (ACT 12). The processor 21 stores the photography image,which the processor 21 acquired from the camera 4, in the memory such asthe RAM 23.

In addition, after starting the settlement process, the processor 21instructs the 3D camera 5 to photograph a distance image indicative ofdepth information, as well as instructing the camera 4 to photograph.Responding to the instruction of the processor 21, the 3D camera 5photographs the distance image as depth information of an areacorresponding to the photography range of the camera 4. The processor 21acquires, via the 3D camera I/F 26, the distance image which the 3Dcamera 5 photographed (ACT 13). The processor 21 stores the distanceimage, which the processor 21 acquired from the 3D camera 5, in thememory such as the RAM 23.

Here, it is assumed that the distance image is information (e.g.three-dimensional coordinate values) in which information indicative ofdepth is added to each coordinate value of each position in thephotography image. Additionally, the distance image which the 3D cameraphotographs, and the photography image which the camera 4 photographs,are configured such that the coordinates of photography positions of thedistance image and the photography image correspond to each other. Inthe meantime, based on the distance or view angle between the camera andthe 3D camera, the processor 21 may execute such a process as aligningthe distance image and photography image. Besides, the distance imagemay be information indicative of a height from the surface of theproduct table 3, on which the articles are placed, at each position inthe photography image.

Upon acquiring the photography image and the distance imagecorresponding to the photography image, the processor 21 extracts animage area of each product existing in the photography image, by usingthe acquired distance image (ACT 14). For example, based on the distanceimage, the processor 21 specifies, as a background area in thephotography image, an area of the surface of the product table 3 onwhich the products are placed (or the bottom surface of the basket inwhich the products are placed). Upon specifying the background area fromthe distance image, the processor 21 specifies the image areas of therespective products by separating the background area and other area inthe photography image. In addition, based on the distance image, theprocessor 21 divides the area into areas each having a substantiallyequal distance (depth), and specifies the image area of each productfrom each divided area. Incidentally, the method of specifying the imagearea of each product from the photography image is not limited to aspecific method. For example, the background area in the photographyimage may be detected based on an image pattern of the surface of theproduct table 3, on which the articles are placed.

Upon extracting the image area of each product in the photography image,the processor 21 specifies (estimates) the outer-shape area of each ofthe products extracted as image areas (ACT 15). For example, if theouter shape of a product is rectangular, the processor 21 specifies thecoordinates of the four corners of the rectangular outer-shape area ofthe product, as the information indicative of the outer-shape area ofthe product. Additionally, if the outer shape of a product ispentagonal, the processor 21 may specify the coordinates of the fivepoints that are apices of the pentagon, as the information indicative ofthe outer-shape area of the product. Additionally, if the outer shape ofa product is circular, the processor 21 may specify a plurality ofcoordinates (coordinates of an edge) indicative of the circle (orellipse) as the outer shape of the product. Specifically, the processor21 specifies the information indicative of the outer-shape area inaccordance with the shape of each product. In the description below, itis mainly assumed that the outer shape of each product is rectangular.

Here, an example of the method of specifying the outer-shape area ofeach product in the photography image will be described.

FIG. 5A and FIG. 5B are views for describing an example of the method ofspecifying the outer-shape areas of products. FIG. 5A is a viewillustrating an arrangement example of a plurality of products, and FIG.5B is a view illustrating an example of a photography image captured byphotographing the products in the arrangement state shown in FIG. 5A.

As illustrated in FIG. 5A, when a product A and a product B are placedin an overlapping manner, if the product A and product B are viewed fromabove, there exists an area hidden by the product A that is laid over apart of the product B. This area hidden by the product A is anunidentified area. In the example shown in FIG. 3B, the product C, whichis disposed in the unidentified area, becomes an unidentified product.For example, the outer-shape area of the product B, which includes anarea hidden by the product A, can be specified by extracting a rectanglewith a smallest surrounded area.

In addition, in the photography image shown in FIG. 5B, three cornersp1, p2 and p3 appear in the image area of the product B. These threepoints p1, p2 and p3 can be directly specified from the image area ofthe product B in the photography image. A fourth corner, which indicatesthe outer-shape area of the product B and exists in an area that isinvisible in the photography image, can be specified as an intersectionpoint p4 between extension lines of a side c1 and a side c2 which are incontact with the invisible area in FIG. 5B. Thereby, the outer-shapearea of the product B can be specified as coordinates of the four pointsp1, p2, p3 and p4 shown in FIG. 5B. Specifically, the outer-shape areaof the rectangular product can be specified by specifying, from thecoordinates of the three corners appearing in the image area of theproduct, the coordinates of the other corner that does not appear in thephotography image.

Upon specifying the outer-shape area of each product in the photographyimage, the processor 21 executes an unidentified area detection processof determining the presence/absence of an unidentified area (ACT 16).For example, the processor 21 detects an unidentified area by checkingthe relationship of inclusion between outer-shape areas of respectiveproducts. Incidentally, the detection method of an unidentified areawill be described later.

If the processor 21 detects an unidentified area in the unidentifiedarea detection process (ACT 17, YES), the processor 21 issues an alerton the occurrence of an error (ACT 18). For example, the processor 21displays, on the display 6, an alert that an unidentified area exists,or that settlement is not possible. Additionally, the processor 21 maydisplay on the display 6 a photography image of the state in whichplural products overlap, as illustrated in FIG. 3B or FIG. 5B.Additionally, the processor 21 may display on the display 6 aphotography image depicting the outer-shape areas of the respectiveproducts. Additionally, the processor 21 may issue an alert for asalesclerk, instead of an alert for the operator. Additionally, theprocessor 21 may produce an alarm notifying the operator of theoccurrence of an error by a speaker or the like.

After issuing the alert in response to the detection of the unidentifiedarea, the processor 21 accepts an instruction to retry the settlementprocess (product recognition process) (ACT 19). For example, theprocessor 21 retries the settlement process in accordance with aninstruction to a retry button provided on the operation panel 7. Theretry button may be an icon which the display 6 displays, or may be ahard key provided on the operation panel 7. If the retry is instructed(ACT 19, YES), the processor 21 returns to ACT 12, acquires aphotography image once again, and executes the above-described processonce again. In the meantime, when the processor 21 detected theunidentified area, the processor 21 may finish the settlement process ofthe products existing in the area other than the unidentified area, andmay execute a settlement process of a product existing in theunidentified area.

On the other hand, if the processor 12 determines the absence of theretry instruction (ACT 19, NO), the processor 21 stops the settlementprocess, and transitions to the standby state. For example, if the retryis not instructed for a predetermined time period, the processor 12determines the absence of the retry instruction. If the processor 12determined the absence of the retry instruction, the processor 21 maydisplay on the display 6 an alert that the settlement process is to bestopped. In addition, even when the processor 21 detected theunidentified area, the processor 21 may finish the settlement processwithout issuing the alert, and may transition to the standby state.

In addition, if the processor 21 detected no unidentified area in thephotography image (ACT 17, NO), the processor 21 executes a productrecognition process of recognizing each product with respect to theimage area of each product extracted from the photography image (ACT20). In the product recognition process, the processor 21 specifieswhich product in the extracted image areas of products corresponds towhich product registered in the product DB 24 a.

The product recognition process is not limited to a specific method ifthe process can recognize all products existing in the photography imagewhich the camera 4 photographed. The product recognition processrecognizes each product existing in the photography image by usingproduct identification information. For example, the product recognitionprocess may be a process of recognizing a product by using, as theproduct identification information, an identification pattern such as abar code, a two-dimensional code, characters, numerals or a mark. Inthis case, the identification pattern, such as a bar code, atwo-dimensional code, characters, numerals or a mark, is provided on atleast one surface of the product.

For example, the processor 21 may use a method of specifying theproduct, based on the bar code existing in the image area of theproduct. In this case, the processor 21 acquires a bar code area fromthe image area of the product. Upon acquiring the bar code area, theprocessor 21 executes a decode process on the acquired bar code area.Upon decoding the bar code, the processor 21 collates a product code,which was obtained by decoding the bar code, and product codes ofregistered products registered in the product DB 24 a. The processor 21identifies the product having the coincident product code in thecollation process. Incidentally, the method of acquiring the bar codearea is not restricted, and may be, for instance, a method of detectinga bar code area by specifying an area with a strong high-frequencycomponent.

In addition, the product recognition process may be a process ofrecognizing products by using characteristic information such ascharacteristic amounts extracted from images of individual products inthe photography image. In this case, the characteristic information asthe product identification information is a characteristic amountextracted from the image of a product photographed from a specificdirection. The product recognition process by the characteristic amountextracted from the image of the product is not limited to a specificmethod, if the process can identify the product from the image area ofthe product in the photography image. For example, the productrecognition process may be a method of identifying the product by usingthe characteristic amount of the image, such as a density gradient or acolor histogram in the image area of the product. In this case, in theproduct DB 24 a, the characteristic amount corresponding to specificmethod, such as the density gradient or color histogram in the image ofthe product, is registered as the characteristic information of theregistered product. The method of identifying the product by thecharacteristic amount obtained from the image of the product isadvantageous in that the product can be identified even when the barcode is not visible.

Upon recognizing (identifying) each product existing in the photographyimage in the product recognition process, the processor 21 executes thesettlement process on each product (ACT 21). In the settlement process,the processor 21 specifies the price of each product by referring to theproduct information of each product registered in the product DB 24 a,and determines the total price of all products as the settlement amount.Upon determining settlement amount, the processor 21 executes a processof receiving the settlement amount from the operator by using thesettlement unit 8.

Next, an example of the unidentified area detection process fordetecting an unidentified product in the photography image will bedescribed.

FIG. 6 is a flowchart for describing an example of the unidentified areadetection process by the settlement apparatus 1.

The processor 21 determines a relationship of inclusion between theouter-shape area of each product extracted from the photography imageand the outer-shape area of some other product (ACT 31). The processor21 determines whether the image area of each product in the photographyimage is included in the outer-shape area of the other product, which isspecified from the outer-shape information (e.g. the coordinates of fourcorners) of the other product. To begin with, the processor 21 selectsproducts in the order beginning with the product having a shortest depthdistance (i.e. in the order beginning with the product that ispositioned uppermost) from among the image areas of the productsextracted from the photography image. The processor 21 determineswhether the image area of the selected product with the shortest depthdistance is included in the outer-shape area (the area of the outershape obtained from outer-shape information) of the product of the imagearea having a greater depth distance than the image area having theshortest depth distance (i.e. the product at a lower height level thanthe product with the shortest depth distance). In other words, theprocessor 21 determines whether any one of coordinates indicative of theimage area of the selected product (e.g. coordinates of four corners ofthe image area of the selected product) is included in the outer-shapearea of the other product (ACT 32).

If the processor 21 determines that the image area of the selectedproduct is not included in the outer-shape area of the other product(i.e. there is no relationship of inclusion) (ACT 32, NO), the processor21 determines that there is no unidentified area in connection with theselected product (ACT 34). For example, FIG. 7A illustrates anarrangement example of products in a case where there is no relationshipof inclusion. FIG. 7B is a view illustrating outer-shape areas of theproducts shown in FIG. 7A. Specifically, when the outer-shape areas ofthe respective products are independent from each other, as illustratedin FIG. 7B, the processor 21 can determine (confirm) that the productsdo not overlap, as illustrated in FIG. 7A.

If the processor 21 determines that the image area of the selectedproduct is included in the outer-shape area of the other product (ACT32, YES), the processor 21 determines whether the entirety of the imagearea of the selected product is included in the outer-shape area of theanother product (ACT 33). In other words, the processor 21 determineswhether all of the coordinates indicative of the image area of theselected product (e.g. coordinates of four corners of the image area)are included in the outer-shape area of the other product. If theentirety of the image area of the selected product is included in theouter-shape area of the other product, this means that there is acertain product other than the selected product, but there is no productwhich is invisible in the photography image and lies under the selectedproduct. Specifically, when the entirety of the image area of theselected product is included in the outer-shape area of the otherproduct, the processor 21 can determine that there is no unidentifiedarea.

If the processor 21 determines that the entirety of the image area ofthe selected product is included in the outer-shape area of the otherproduct (ACT 33, YES), the processor 21 determines that there is nounidentified area in connection with the selected product (ACT 34). Forexample, FIG. 8A illustrates an arrangement example of two products in acase where the entirety of the image area of a certain product isincluded in the outer-shape area of another product lying under thecertain product. FIG. 8B is a view illustrating outer-shape areas of theproducts shown in FIG. 8A. Specifically, as illustrated in FIG. 8B, theentirety of the image area (outer-shape area) of an upper-side productis completely included in the outer-shape area of a lower-side product.In this case, the processor 21 can determine (confirm) that nounidentified area occurs due to overlapping between products, asillustrated in FIG. 8A.

If the processor 21 determines that the entirety of the image area ofthe selected product is not included in the outer-shape area of theother product (i.e. if the processor 21 determines that only a part ofthe image area of the selected product is included in the outer-shapearea of the other product) (ACT 33, NO), the processor 21 determinesthat there is an unidentified area in connection with the selectedproduct (ACT 35). For example, FIG. 9A illustrates an arrangementexample of two products in a case where an unidentified area occurs.FIG. 9B is a view illustrating outer-shape areas of the products shownin FIG. 9A. Specifically, as illustrated in FIG. 9B, the image area(outer-shape area) of an upper-side product is not completely includedin the outer-shape area of a lower-side product, and only a part of theimage area (outer-shape area) of the upper-side product is included inthe outer-shape area of the lower-side product. In this case, theprocessor 21 determines (confirms) that an unidentified area occurs dueto overlapping between products, as illustrated in FIG. 9A.

By the above-described process of ACT 31 to ACT 35, the processor 21detects an unidentified area with respect to the image area of theselected product. The processor 21 executes the process of ACT 31 to ACT35 on the image areas of all products extracted from the photographyimage. Thereby, the processor 21 detects an unidentified area in theentirety of the photography image.

In the meantime, the unidentified area detection method is not limitedto the above-described method. For example, a product recognitionprocess on each product may be executed, and an unidentified area may bedetected by a comparison between the product information of the productregistered in the product DB 24 a and the image of the product acquiredfrom the photography image (for example, by an area difference betweenthe area of the product registered in the product DB 24 a and the areaof the product image extracted from the photography image).

As described above, the settlement apparatus according to the embodimentconfirms the presence/absence of an unidentified area in the photographyimage, and executes a settlement process on all products recognized fromthe photography image when there is no unidentified area. When thesettlement apparatus detected an unidentified area, the settlementapparatus issues an alert without executing the settlement process.According to this settlement process, a settlement process is preventedfrom being executed with a price lower than the actual price of allproducts that are settlement targets, due to the presence of a productin the unidentified area.

Incidentally, in the above embodiment, the case was described in whichthe programs, which the processor executes, are prestored in the memoryin the apparatus. However, the programs, which the processor executes,may be downloaded into the apparatus via a network, or may be installedin the apparatus from a storage medium. The storage medium may be of anytype, such as a CD-ROM, if the storage medium can store programs and theapparatus can read the storage medium. Besides, the functions obtainedby preinstall or download may be functions which are realized incooperation with an OS (operating system) or the like in the apparatus.

While certain embodiments have been described, these embodiments havebeen presented by way of example only, and are not intended to limit thescope of the inventions. Indeed, the novel methods and systems describedherein may be embodied in a variety of other forms; furthermore, variousomissions, substitutions and changes in the form of the methods andsystems described herein may be made without departing from the spiritof the inventions. The accompanying claims and their equivalents areintended to cover such forms or modifications as would fall within thescope and spirit of the inventions.

1. An article recognition apparatus comprising: a first interfaceconfigured to acquire an image captured by photographing a photographyrange including an area where articles that are recognition targets arearranged; a second interface configured to acquire depth informationfrom a predetermined position relative to an area corresponding to thephotography range; and a processor configured to extract image areas ofall products existing in the image by using the depth information, andto determine whether an unidentified area due to overlapping of aplurality of the products exists in the image, based on the image areasof the products extracted from the image.
 2. The article recognitionapparatus of claim 1, wherein the processor is configured to specify anouter-shape area of each of the products with respect to the image areaof each of the products extracted from the image, and to detect theunidentified area, based on the outer-shape area of each of theproducts.
 3. The article recognition apparatus of claim 2, wherein theprocessor is configured to detect the unidentified area, based on arelationship of inclusion between the image area of a product extractedfrom the image and the outer-shape area of another product extractedfrom the image.
 4. The article recognition apparatus of claim 1, furthercomprising a third interface configured to issue an alert to an externalapparatus, wherein the processor is configured to issue, via the thirdinterface, an alert that the unidentified area exists, if the processordetected presence of the unidentified area in the image.
 5. A settlementapparatus comprising: a first interface configured to acquire an imagecaptured by photographing a photography range including an area wherearticles that are recognition targets are arranged; a second interfaceconfigured to acquire depth information from a predetermined positionrelative to an area corresponding to the photography range; and aprocessor configured to: extract image areas of all products existing inthe image by using the depth information, determine whether anunidentified area due to overlapping of a plurality of the productsexists in the image, based on the extracted image areas of the products,execute a settlement process corresponding to a result of a productrecognition process for each of the image areas of the products, if theprocessor determined absence of the unidentified area in the image, andstop the settlement process corresponding to the result of the productrecognition process for each of the image areas of the products, if theprocessor determined presence of the unidentified area in the image. 6.The settlement apparatus of claim 5, wherein the processor is configuredto specify an outer-shape area of each of the products with respect tothe image area of each of the products extracted from the image, and todetect the unidentified area, based on the outer-shape area of each ofthe products.
 7. The settlement apparatus of claim 6, wherein theprocessor is configured to detect the unidentified area, based on arelationship of inclusion between the image area of a product extractedfrom the image and the outer-shape area of another product extractedfrom the image.
 8. The settlement apparatus of claim 5, furthercomprising a third interface configured to issue an alert to an externalapparatus, wherein the processor is configured to issue, via the thirdinterface, an alert that the unidentified area exists, if the processordetected presence of the unidentified area in the image.
 9. Thesettlement apparatus of claim 8, wherein the third interface is aninterface for a connection to a display, wherein the processor isconfigured to display an image indicating the unidentified area in theimage, if the processor detected the presence of the unidentified areain the image.
 10. An article recognition method comprising: acquiring animage captured by photographing a photography range including an areawhere articles that are recognition targets are arranged; acquiringdepth information from a predetermined position relative to an areacorresponding to the photography range; and extracting image areas ofall products existing in the image by using the depth information, anddetermining whether an unidentified area due to overlapping of aplurality of the products exists in the image, based on the image areasof the products extracted from the image.